Image compression by linear splines over adaptive triangulations L Demaret, N Dyn, A Iske Signal Processing 86 (7), 1604-1616, 2006 | 205 | 2006 |
Jump-sparse and sparse recovery using Potts functionals M Storath, A Weinmann, L Demaret IEEE Transactions on Signal Processing 62 (14), 3654-3666, 2014 | 108 | 2014 |
A finite difference scheme for a degenerated diffusion equation arising in microbial ecology HJ Eberl, L Demaret Electron. J. Differ. Equ 15, 77-95, 2007 | 106 | 2007 |
Total variation regularization for manifold-valued data A Weinmann, L Demaret, M Storath SIAM Journal on Imaging Sciences 7 (4), 2226-2257, 2014 | 101 | 2014 |
Beyond wavelets: New image representation paradigms H Führ, L Demaret, F Friedrich preprint, 2006 | 59 | 2006 |
Adaptive thinning for terrain modelling and image compression L Demaret, N Dyn, MS Floater, A Iske Advances in multiresolution for geometric modelling, 319-338, 2005 | 59 | 2005 |
Adaptive image approximation by linear splines over locally optimal Delaunay triangulations L Demaret, A Iske IEEE Signal Processing Letters 13 (5), 281-284, 2006 | 55 | 2006 |
Advances in digital image compression by adaptive thinning L Demaret, A Iske Annals of the MCFA 3, 105-109, 2004 | 40 | 2004 |
The -Potts Functional for Robust Jump-Sparse Reconstruction A Weinmann, M Storath, L Demaret SIAM Journal on Numerical Analysis 53 (1), 644-673, 2015 | 35 | 2015 |
Efficient moment computation over polygonal domains with an application to rapid wedgelet approximation F Friedrich, L Demaret, H Führ, K Wicker SIAM Journal on Scientific Computing 29 (2), 842-863, 2007 | 33 | 2007 |
Analysis and simulation of a meso-scale model of diffusive resistance of bacterial biofilms to penetration of antibiotics MA Efendiev, L Demaret, R Lasser, HJ Eberl Adv. Math. Sci. Appl 18 (2), 2008 | 29 | 2008 |
A Mixed‐Culture Model of a Probiotic Biofilm Control System HJ Eberl, H Khassehkhan, L Demaret Computational and Mathematical Methods in Medicine 11 (2), 99-118, 2010 | 27 | 2010 |
Multiscale wedgelet denoising algorithms L Demaret, F Friedrich, H Führ, T Szygowski Wavelets XI 5914, 284-295, 2005 | 27 | 2005 |
Scattered data coding in digital image compression L Demaret, A Iske Curve and Surface Fitting: Saint-Malo 2003, 107-117, 2002 | 26 | 2002 |
Mumford–Shah and Potts regularization for manifold-valued data A Weinmann, L Demaret, M Storath Journal of Mathematical Imaging and Vision 55, 428-445, 2016 | 25 | 2016 |
X‐ray computed tomography using curvelet sparse regularization M Wieczorek, J Frikel, J Vogel, E Eggl, F Kopp, PB Noël, F Pfeiffer, ... Medical physics 42 (4), 1555-1565, 2015 | 18 | 2015 |
On the structure of attractors for a class of degenerate reaction-diffusion systems MA Efendiev, L Demaret Adv. Math. Sci. Appl 18 (1), 105-118, 2008 | 16 | 2008 |
Contextual image compression from adaptive sparse data representations L Demaret, A Iske, W Khachabi SPARS'09-Signal Processing with Adaptive Sparse Structured Representations, 2009 | 15 | 2009 |
Total variation regularization of pose signals with an application to 3D freehand ultrasound M Esposito, C Hennersperger, R Göbl, L Demaret, M Storath, N Navab, ... IEEE transactions on medical imaging 38 (10), 2245-2258, 2019 | 14 | 2019 |
Total variation regularization of shape signals M Baust, L Demaret, M Storath, N Navab, A Weinmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 13 | 2015 |